The classification of AVHRR thermal infrared data and ground weather temperature data by using neural network

Ma Jianwen,Hasibagan,Buheosr,Zhou Zijiang

Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International（2003）

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Abstract

Shows that a better result was achieved by utilizing the BP neural network classification method than by using the split-window temperature retrieving (LST) method in China and Japan Asian Dust Storm Project.

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Key words

atmospheric temperature,dust,geophysical techniques,geophysics computing,image classification,neural nets,radiometry,remote sensing,storms,avhrr thermal infrared data,advanced very high resolution radiometer,bp neural network classification method,china,japan asian dust storm project,ground temperature data,land-surface temperature measurement,split-window temperature retrieving,neural networks,snow,testing,artificial neural networks,neural network

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